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09/18/2023
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Audio visual segmentation (AVS) aims to segment the sounding objects for...
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01/06/2023
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
Monocular 3D lane detection is a challenging task due to its lack of dep...
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10/13/2022
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Video language pre-training methods have mainly adopted sparse sampling ...
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10/08/2022
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
Contrastive learning has been extensively studied in sentence embedding ...
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06/08/2022
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
Referring video object segmentation aims to predict foreground labels fo...
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09/09/2021
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Contrastive learning has been attracting much attention for learning uns...
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09/09/2021
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning has been gradually applied to learn high-quality un...
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05/14/2021
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
Language-queried video actor segmentation aims to predict the pixel-leve...
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04/07/2021
LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
Face reenactment is a challenging task, as it is difficult to maintain a...
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01/11/2021
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
Learning to capture dependencies between spatial positions is essential ...
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12/08/2020
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
The dissemination of fake news significantly affects personal reputation...
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10/01/2020
Linguistic Structure Guided Context Modeling for Referring Image Segmentation
Referring image segmentation aims to predict the foreground mask of the ...
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10/01/2020
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Referring image segmentation aims at segmenting the foreground masks of ...
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07/16/2020
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Document-level Sentiment Analysis (DSA) is more challenging due to vague...
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02/22/2020
Data Augmentation for Copy-Mechanism in Dialogue State Tracking
While several state-of-the-art approaches to dialogue state tracking (DS...
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11/09/2019
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Automatically labeling multiple styles for every song is a comprehensive...
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09/10/2019
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
The development of social media has revolutionized the way people commun...
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09/10/2019
Learning review representations from user and product level information for spam detection
Opinion spam has become a widespread problem in social media, where hire...
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09/05/2019
TransSent: Towards Generation of Structured Sentences with Discourse Marker
This paper focuses on the task of generating long structured sentences w...
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08/21/2019
"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer
This paper focuses on the task of sentiment transfer on non-parallel tex...
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03/28/2019
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Imbalanced data commonly exists in real world, espacially in sentiment-r...
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01/21/2019
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks
Typically, Ultra-deep neural network(UDNN) tends to yield high-quality m...
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12/17/2018
Conditional BERT Contextual Augmentation
We propose a novel data augmentation method for labeled sentences called...
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01/04/2018
